CN104240124A - Rural financial service management system based on data warehouse technology and establishing method - Google Patents
Rural financial service management system based on data warehouse technology and establishing method Download PDFInfo
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Abstract
The invention discloses a rural financial service management system based on a data warehouse technology. The rural financial service management system comprises a data warehouse sharing system a data application access system and an area personalization processing system. An area personalization multi-dimensional analysis model is established through the area personalization processing system, an interface of a multi-dimensional analysis tool is provided for meeting the special demand of a user and extension demand for future data analysis. Area personalization parameters are set by means of a mining algorithm according to financial institution basic data. The rural financial service management system utilizes the data warehouse technology to obtain the area personalization parameters required by development of a financial management service system, converts the parameters into different rules and extracts data dynamic suggestion personalization application data area from basic data areas. Rural credit financial management service quality is improved, and scientific and technological financial rural credit management service personalized in area is achieved.
Description
Technical field
The present invention relates to technical field of data administration, especially relate to a kind of service of finance management system based on data warehouse technology and method for building up.
Background technology
Keeping reforming and developing along with bank corporate finance, in new economic environment, the scope of business is constantly expanded, portfolio and scale constantly increase, at present, Rural Credit Cooperative comprises the essential characteristic that joint-stock bank, Rural Commercial Bank, rural cooperation banks, agricultural cooperative credit society, at village level villages and small towns bank etc. maintain Rural Credit Cooperative, together constitutes agriculture letter Financial Management service system.Technical comparing falls behind compared with commercial bank, existing Financial Management service system and traditional operational support system disunity, mutually can not merge and utilize each other, seriously limit raising and the development of agriculture letter Financial Management service quality, in order to improve the service level of rural credit cooperative system, making good brand, building techno-financial agriculture fuse tube reason service platform, under guaranteeing that system has the prerequisite of good extendability, security, stability and high availability, realize techno-financial agriculture fuse tube reason service platform.
Existing agriculture letter Financial Management service system and method for building up, be therefore necessary to be improved.
Summary of the invention
For the deficiency that above-mentioned prior art exists, the object of this invention is to provide a kind of service of finance management system based on data warehouse technology and method for building up.
An object of the present invention proposes a kind of service of finance management system based on data warehouse technology; Two of object of the present invention is the method for building up proposing a kind of service of finance management system based on data warehouse technology.
An object of the present invention is achieved through the following technical solutions:
Service of finance management system based on data warehouse technology provided by the invention, comprises shared data warehouse, market demand access system and regional characteristic disposal system;
Described shared data warehouse, carries out merger and integrates realizing sharing data message source for obtaining financial institution's basic data;
Described market demand access system, builds the market demand fairground of separate service theme by unified Data View, described market demand fairground comprises the business diagnosis Data Mart of unified bordereaux Data Mart, operational indicator system and point special topic; Described Data View, as data mining terminal access Real-time data interface, when data mining terminal has visit data demand, provides the approach in visit data warehouse; When the new data in data warehouse is increased to some or since process last time is through after a period of time, batch processing data, generate data be stored in data warehouse;
Described regional characteristic disposal system, for setting up regional characteristic multidimensional analysis models, provides the interface of multidimensional analysis tool to adapt to user's special demand and Future Data analyzes right expansion demand; According to financial institution's basic data by mining algorithm setting area personalizing parameters.
Further, described regional characteristic disposal system comprises that source data layer sets up module, service layer sets up module, data storage layer sets up module and middle service layer sets up module;
Described source data layer sets up module, adopts XML to carry out the data-interface specification of defined range personalization at source data layer, adopts universal data interface technology to realize definition and the management of source data layer;
Described service layer sets up module, in the data conversion of service layer, define tree-shaped regional characteristicization rule;
Described data storage layer sets up module, sets up the application data district of regional characteristic, the demand of regional characteristic is changed into different rules at data storage layer and service layer, from extracted data Dynamic Establishing personalized application data field, basic data district;
Described middle service layer sets up module, sets up the self-defined report visualized operation instrument towards service of finance management final user at middle service layer.
Further, described regional characteristic disposal system also comprises that interrogation model sets up module, MAC layer sets up module, service-user layer sets up module and metadata management layer sets up module;
Described interrogation model sets up module, realizes predefine inquiry and the optimization of random challenge, from data permission, query load and query time three aspect be optimized control;
Described MAC layer sets up module, sets up the personalized interface of classification in MAC layer, comprises head office, in lines, subbranch, sub-department and final operating personnel process interface;
Described service-user layer sets up module, in service-user layer, user is divided into traffic operation staff, decision-maker, Knowledge Worker personnel, and arranges the Regional Informationization maturity indices of every class user;
Described metadata management layer sets up module, increases region and individual two-dimensional description at metadata management layer to each data; Realize all data cases in different business systems metadata accurate definition database, and record data from origin system to data warehouse to Data Mart again to application process.
Further, described shared data message source comprises Data Mart, data mining and slack storage; Described Data Mart adopts the data structure of department level, carries out Denormalization Processing according to department information demand.
Further, described regional characteristic disposal system also comprises Data Migration module, described Data Migration module is used for the data item often used to move on to the storage area that can access quickly, and the data item seldom used is moved to the process in the slower region of access speed.
Two of object of the present invention is achieved through the following technical solutions:
The method for building up of the service of finance management system based on data warehouse technology provided by the invention, comprises the following steps:
S1: set up and share data warehouse, described shared data warehouse carries out merger and integrates realizing sharing data message source for obtaining financial institution's basic data;
S2: set up market demand access system, described market demand access system builds the market demand fairground of business-subject by unified Data View, and described market demand fairground comprises the analysis Data Mart of unified bordereaux Data Mart, operational indicator system and thematic business; Described Data View, as data mining terminal access Real-time data interface, when data mining terminal has visit data demand, provides the approach in visit data warehouse; When the new data in data warehouse is increased to some or since process last time is through after a period of time, batch processing data, generate data be stored in data warehouse;
S3: set up regional characteristic disposal system, described regional characteristic disposal system, for setting up regional characteristic multidimensional analysis models, provides the interface of multidimensional analysis tool to adapt to user's special demand and Future Data analyzes right expansion demand; According to financial institution's basic data by mining algorithm setting area personalizing parameters.
Further, described regional characteristic disposal system comprises that source data layer sets up module, service layer sets up module, data storage layer sets up module, middle service layer sets up module;
Described source data layer sets up module, adopts XML to carry out the data-interface specification of defined range personalization at source data layer, adopts universal data interface technology to realize definition and the management of source data layer;
Described service layer sets up module, in the data conversion of service layer, define tree-shaped regional characteristicization rule;
Described data storage layer sets up module, sets up the application data district of regional characteristic, the demand of regional characteristic is changed into different rules at data storage layer and service layer, from extracted data Dynamic Establishing personalized application data field, basic data district;
Described middle service layer sets up module, sets up the self-defined report visualized operation instrument towards service of finance management final user at middle service layer.
Further, described regional characteristic disposal system also comprises that interrogation model sets up module, MAC layer sets up module, service-user layer sets up module and metadata management layer sets up module;
Described interrogation model sets up module, realizes predefine inquiry and the optimization of random challenge, from data permission, query load and query time three aspect be optimized control;
Described MAC layer sets up module, sets up the personalized interface of classification in MAC layer, comprises head office, in lines, subbranch, sub-department and final operating personnel process interface;
Described service-user layer sets up module, in service-user layer, user is divided into traffic operation staff, decision-maker, Knowledge Worker personnel, and arranges the Regional Informationization maturity indices of every class user;
Described metadata management layer sets up module, increases region and individual two-dimensional description at metadata management layer to each data; Realize all data cases in different business systems metadata accurate definition database, and record data from origin system to data warehouse to Data Mart again to application process.
Further, described shared data message source comprises Data Mart, data mining and slack storage; Described Data Mart adopts the data structure of department level, carries out Denormalization Processing according to department information demand.
Further, described regional characteristic disposal system also comprises Data Migration module, described Data Migration module is used for the data item often used to move on to the storage area that can access quickly, and the data item seldom used is moved to the process in the slower region of access speed.
Adopt after said structure, the present invention compared to the prior art advantageously:
The present invention utilizes traditional operational support system to obtain the demand parameter of the regional characteristic needed for the exploitation of Financial Management service system, and changes into different rules, dynamically advises personalized application data field from basic data district extracted data.Improve agriculture letter Financial Management service quality, the techno-financial agriculture letter management service of feasible region personalization.
Adopt XML to carry out the data-interface specification of defined range personalization at source data layer, then realize the management of source data layer in conjunction with general data interface techniques.
Tree-shaped regional characteristicization rule will be defined in data conversion, to adapt to the actual demand of different stage and regional body in service layer.
Accompanying drawing explanation
Below in conjunction with drawings and Examples, the present invention is further described:
Fig. 1 is a kind of service of finance management system schematic diagram based on data warehouse technology of the present invention.
Embodiment
The following stated is only preferred embodiment of the present invention, does not therefore limit protection scope of the present invention.
Embodiment, as shown in Figure 1: the service of finance management system based on data warehouse technology that the present embodiment provides, comprises shared data warehouse, market demand access system and regional characteristic disposal system;
Described shared data warehouse, carries out merger and integrates realizing sharing data message source for obtaining financial institution's basic data;
Described market demand access system, builds the market demand fairground of separate service theme by unified Data View, described market demand fairground comprises the business diagnosis Data Mart of unified bordereaux Data Mart, operational indicator system and point special topic; Described Data View, as data mining terminal access Real-time data interface, when data mining terminal has visit data demand, provides the approach in visit data warehouse; When the new data in data warehouse is increased to some or since process last time is through after a period of time, batch processing data, generate data be stored in data warehouse;
Described regional characteristic disposal system, for setting up regional characteristic multidimensional analysis models, provides the interface of multidimensional analysis tool to adapt to user's special demand and Future Data analyzes right expansion demand; According to financial institution's basic data by mining algorithm setting area personalizing parameters.In real application systems, various predefined parameter, function, process are become the definition of data handling procedure by the UI instrument using XML to use system to provide by user according to the path combination that its mechanism specifies, the background service process then in system is converted to the performed data manipulation language (DML) of the data base management system (DBMS) of current use according to this procedure definition.Such as, if use MS SQL Server according to base management system, then background service transfers to MS SQL Server to perform after the data handling procedure defined is converted to T-SQL and MDX language.Like this, when user change demand or for different user time, only need to revise former flow chart of data processing and can obtain user's expected result data.
Described regional characteristic disposal system comprises that source data layer sets up module, service layer sets up module, data storage layer sets up module, middle service layer sets up module;
Described source data layer sets up module, XML is adopted to carry out the data-interface specification of defined range personalization at source data layer, the business (as deposit, loan, intermediary service, international clearing etc.) that bank relates to by application system is in advance defined as a mark, and then the key element (as adjusted code, subject, debt-credit mark etc.) of these business is defined as other mark, as long as user uses these marks and predefined function or predefined processing procedure to get final product setting data Processing Interface specification.In general, conventional data-interface mainly contains deposit statistics, loan statistics, traffic volume measurement, balance of payment statistics etc., and these statistics can be subdivided into again by client's statistics, mechanism's statistics, teller's statistics, subject statistics, purposes statistics etc.Adopt universal data interface technology as ADO, ADO.NET, ODBC etc., use the WEB application of application system (being mainly used in managing) and WinForm application (being mainly used in defining) to realize definition and the management of source data layer;
Described service layer sets up module, in the data conversion of service layer, define tree-shaped regional characteristicization rule;
Described data storage layer sets up module, sets up the application data district of regional characteristic, the demand of regional characteristic is changed into different rules at data storage layer and service layer, from extracted data Dynamic Establishing personalized application data field, basic data district;
Described middle service layer sets up module, sets up the self-defined report visualized operation instrument towards service of finance management final user at middle service layer.
Described regional characteristic disposal system also comprises that interrogation model sets up module, MAC layer sets up module, service-user layer sets up module and metadata management layer sets up module;
Described interrogation model sets up module, realizes predefine inquiry and the optimization of random challenge, from data permission, query load and query time three aspect be optimized control;
Described MAC layer sets up module, sets up the personalized interface of classification in MAC layer, comprises head office, in lines, subbranch, sub-department and final operating personnel process interface;
Described service-user layer sets up module, in service-user layer, user is divided into traffic operation staff, decision-maker, Knowledge Worker personnel, and arranges the Regional Informationization maturity indices of every class user;
Described metadata management layer sets up module, increases region and individual two-dimensional description at metadata management layer to each data; Realize all data cases in different business systems metadata accurate definition database, and record data from origin system to data warehouse to Data Mart again to application process.
Described shared data message source comprises Data Mart, data mining and slack storage; Described Data Mart adopts the data structure of department level, carries out Denormalization Processing according to department information demand.
Described regional characteristic disposal system also comprises Data Migration module, described Data Migration module is used for the data item often used to move on to the storage area that can access quickly, and the data item seldom used is moved to the process in the slower region of access speed.
The present embodiment additionally provides the method for building up of the service of finance management system based on data warehouse technology, comprises the following steps:
S1: set up and share data warehouse, described shared data warehouse carries out merger and integrates realizing sharing data message source for obtaining financial institution's basic data;
S2: set up market demand access system, described market demand access system builds the market demand fairground of business-subject by unified Data View, and described market demand fairground comprises the analysis Data Mart of unified bordereaux Data Mart, operational indicator system and thematic business; Described Data View, as data mining terminal access Real-time data interface, when data mining terminal has visit data demand, provides the approach in visit data warehouse; When the new data in data warehouse is increased to some or since process last time is through after a period of time, batch processing data, generate data be stored in data warehouse;
S3: set up regional characteristic disposal system, described regional characteristic disposal system, for setting up regional characteristic multidimensional analysis models, provides the interface of multidimensional analysis tool to adapt to user's special demand and Future Data analyzes right expansion demand; According to financial institution's basic data by mining algorithm setting area personalizing parameters.
Described regional characteristic disposal system comprises that source data layer sets up module, service layer sets up module, data storage layer sets up module and middle service layer sets up module;
Described source data layer sets up module, adopts XML to carry out the data-interface specification of defined range personalization at source data layer, adopts universal data interface technology to realize definition and the management of source data layer;
Described service layer sets up module, in the data conversion of service layer, define tree-shaped regional characteristicization rule;
Described data storage layer sets up module, sets up the application data district of regional characteristic, the demand of regional characteristic is changed into different rules at data storage layer and service layer, from extracted data Dynamic Establishing personalized application data field, basic data district;
Described middle service layer sets up module, sets up the self-defined report visualized operation instrument towards service of finance management final user at middle service layer.
Described regional characteristic disposal system also comprises that interrogation model sets up module, MAC layer sets up module, service-user layer sets up module and metadata management layer sets up module;
Described interrogation model sets up module, realizes predefine inquiry and the optimization of random challenge, from data permission, query load and query time three aspect be optimized control;
Described MAC layer sets up module, sets up the personalized interface of classification in MAC layer, comprises head office, in lines, subbranch, sub-department and final operating personnel process interface;
Described service-user layer sets up module, in service-user layer, user is divided into traffic operation staff, decision-maker, Knowledge Worker personnel, and arranges the Regional Informationization maturity indices of every class user;
Described metadata management layer sets up module, increases region and individual two-dimensional description at metadata management layer to each data; Realize all data cases in different business systems metadata accurate definition database, and record data from origin system to data warehouse to Data Mart again to application process.
Described shared data message source comprises Data Mart, data mining and slack storage; Described Data Mart adopts the data structure of department level, carries out Denormalization Processing according to department information demand.
Described regional characteristic disposal system also comprises Data Migration module, described Data Migration module is used for the data item often used to move on to the storage area that can access quickly, and the data item seldom used is moved to the process in the slower region of access speed.
Service of finance management system widely uses at present, other structure and principle same as the prior art, repeat no more here.
Claims (10)
1. based on the service of finance management system of data warehouse technology, it is characterized in that: comprise shared data warehouse, market demand access system and regional characteristic disposal system;
Described shared data warehouse, carries out merger and integrates realizing sharing data message source for obtaining financial institution's basic data;
Described market demand access system, builds the market demand fairground of separate service theme by unified Data View, described market demand fairground comprises the business diagnosis Data Mart of unified bordereaux Data Mart, operational indicator system and point special topic; Described Data View, as data mining terminal access Real-time data interface, when data mining terminal has visit data demand, provides the approach in visit data warehouse; When the new data in data warehouse is increased to some or since process last time is through after a period of time, batch processing data, generate data be stored in data warehouse;
Described regional characteristic disposal system, for setting up regional characteristic multidimensional analysis models, provides the interface of multidimensional analysis tool to adapt to user's special demand and Future Data analyzes right expansion demand; According to financial institution's basic data by mining algorithm setting area personalizing parameters.
2. the service of finance management system based on data warehouse technology according to claim 1, is characterized in that: described regional characteristic disposal system comprises that source data layer sets up module, service layer sets up module, data storage layer sets up module and middle service layer sets up module;
Described source data layer sets up module, adopts XML to carry out the data-interface specification of defined range personalization at source data layer, adopts universal data interface technology to realize definition and the management of source data layer;
Described service layer sets up module, in the data conversion of service layer, define tree-shaped regional characteristicization rule;
Described data storage layer sets up module, sets up the application data district of regional characteristic, the demand of regional characteristic is changed into different rules at data storage layer and service layer, from extracted data Dynamic Establishing personalized application data field, basic data district;
Described middle service layer sets up module, sets up the self-defined report visualized operation instrument towards service of finance management final user at middle service layer.
3. the service of finance management system based on data warehouse technology according to claim 1, is characterized in that: described regional characteristic disposal system also comprises that interrogation model sets up module, MAC layer sets up module, service-user layer sets up module and metadata management layer sets up module;
Described interrogation model sets up module, realizes predefine inquiry and the optimization of random challenge, from data permission, query load and query time three aspect be optimized control;
Described MAC layer sets up module, sets up the personalized interface of classification in MAC layer, comprises head office, in lines, subbranch, sub-department and final operating personnel process interface;
Described service-user layer sets up module, in service-user layer, user is divided into traffic operation staff, decision-maker, Knowledge Worker personnel, and arranges the Regional Informationization maturity indices of every class user;
Described metadata management layer sets up module, increases region and individual two-dimensional description at metadata management layer to each data; Realize all data cases in different business systems metadata accurate definition database, and record data from origin system to data warehouse to Data Mart again to application process.
4. the service of finance management system based on data warehouse technology according to claim 1, is characterized in that: described shared data message source comprises Data Mart, data mining and slack storage; Described Data Mart adopts the data structure of department level, carries out Denormalization Processing according to department information demand.
5. the service of finance management system based on data warehouse technology according to claim 1, it is characterized in that: described regional characteristic disposal system also comprises Data Migration module, described Data Migration module is used for the data item often used to move on to the storage area that can access quickly, and the data item seldom used is moved to the process in the slower region of access speed.
6., based on the method for building up of the service of finance management system of data warehouse technology, it is characterized in that: comprise the following steps:
S1: set up and share data warehouse, described shared data warehouse carries out merger and integrates realizing sharing data message source for obtaining financial institution's basic data;
S2: set up market demand access system, described market demand access system builds the market demand fairground of business-subject by unified Data View, and described market demand fairground comprises the analysis Data Mart of unified bordereaux Data Mart, operational indicator system and thematic business; Described Data View, as data mining terminal access Real-time data interface, when data mining terminal has visit data demand, provides the approach in visit data warehouse; When the new data in data warehouse is increased to some or since process last time is through after a period of time, batch processing data, generate data be stored in data warehouse;
S3: set up regional characteristic disposal system, described regional characteristic disposal system, for setting up regional characteristic multidimensional analysis models, provides the interface of multidimensional analysis tool to adapt to user's special demand and Future Data analyzes right expansion demand; According to financial institution's basic data by mining algorithm setting area personalizing parameters.
7. the method for building up of the service of finance management system based on data warehouse technology according to claim 6, is characterized in that: described regional characteristic disposal system comprises that source data layer sets up module, service layer sets up module, data storage layer sets up module, middle service layer sets up module;
Described source data layer sets up module, adopts XML to carry out the data-interface specification of defined range personalization at source data layer, adopts universal data interface technology to realize definition and the management of source data layer;
Described service layer sets up module, in the data conversion of service layer, define tree-shaped regional characteristicization rule;
Described data storage layer sets up module, sets up the application data district of regional characteristic, the demand of regional characteristic is changed into different rules at data storage layer and service layer, from extracted data Dynamic Establishing personalized application data field, basic data district;
Described middle service layer sets up module, sets up the self-defined report visualized operation instrument towards service of finance management final user at middle service layer.
8. the method for building up of the service of finance management system based on data warehouse technology according to claim 6, is characterized in that: described regional characteristic disposal system also comprises that interrogation model sets up module, MAC layer sets up module, service-user layer sets up module and metadata management layer sets up module;
Described interrogation model sets up module, realizes predefine inquiry and the optimization of random challenge, from data permission, query load and query time three aspect be optimized control;
Described MAC layer sets up module, sets up the personalized interface of classification in MAC layer, comprises head office, in lines, subbranch, sub-department and final operating personnel process interface;
Described service-user layer sets up module, in service-user layer, user is divided into traffic operation staff, decision-maker, Knowledge Worker personnel, and arranges the Regional Informationization maturity indices of every class user;
Described metadata management layer sets up module, increases region and individual two-dimensional description at metadata management layer to each data; Realize all data cases in different business systems metadata accurate definition database, and record data from origin system to data warehouse to Data Mart again to application process.
9. the method for building up of the service of finance management system based on data warehouse technology according to claim 6, is characterized in that: described shared data message source comprises Data Mart, data mining and slack storage; Described Data Mart adopts the data structure of department level, carries out Denormalization Processing according to department information demand.
10. the method for building up of the service of finance management system based on data warehouse technology according to claim 6, it is characterized in that: described regional characteristic disposal system also comprises Data Migration module, described Data Migration module is used for the data item often used to move on to the storage area that can access quickly, and the data item seldom used is moved to the process in the slower region of access speed.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106294521A (en) * | 2015-06-12 | 2017-01-04 | 交通银行股份有限公司 | Date storage method and data warehouse |
| CN107239539A (en) * | 2017-06-02 | 2017-10-10 | 山东浪潮商用系统有限公司 | A kind of user-defined m odel method based on relevant database |
| CN108829731A (en) * | 2018-05-15 | 2018-11-16 | 吉贝克信息技术（北京）有限公司 | Data analysing method, system, computer readable storage medium and electric terminal |
| CN111309710A (en) * | 2020-02-21 | 2020-06-19 | 北京京东尚科信息技术有限公司 | Data multiplexing method and device |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6480850B1 (en) * | 1998-10-02 | 2002-11-12 | Ncr Corporation | System and method for managing data privacy in a database management system including a dependently connected privacy data mart |
| CN101566981A (en) * | 2008-04-24 | 2009-10-28 | 长沙创智天马财务软件有限公司 | Method for establishing dynamic virtual data base in analyzing and processing system |
-
2014
- 2014-09-05 CN CN201410453750.4A patent/CN104240124A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6480850B1 (en) * | 1998-10-02 | 2002-11-12 | Ncr Corporation | System and method for managing data privacy in a database management system including a dependently connected privacy data mart |
| CN101566981A (en) * | 2008-04-24 | 2009-10-28 | 长沙创智天马财务软件有限公司 | Method for establishing dynamic virtual data base in analyzing and processing system |
Non-Patent Citations (2)
| Title |
|---|
| 孙丽: "基于OLAP的多维数据金融系统的研究与实现", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
| 张亮: "基于数据仓库的银行数据提取与应用研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106294521A (en) * | 2015-06-12 | 2017-01-04 | 交通银行股份有限公司 | Date storage method and data warehouse |
| CN106294521B (en) * | 2015-06-12 | 2019-09-06 | 交通银行股份有限公司 | Date storage method and data warehouse |
| CN107239539A (en) * | 2017-06-02 | 2017-10-10 | 山东浪潮商用系统有限公司 | A kind of user-defined m odel method based on relevant database |
| CN108829731A (en) * | 2018-05-15 | 2018-11-16 | 吉贝克信息技术（北京）有限公司 | Data analysing method, system, computer readable storage medium and electric terminal |
| CN111309710A (en) * | 2020-02-21 | 2020-06-19 | 北京京东尚科信息技术有限公司 | Data multiplexing method and device |
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Application publication date: 20141224 |